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AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges, and future perspectives
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
A survey of explainable artificial intelligence for smart cities
The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …
and envisioned the concept of smart cities using informed actions, enhanced user …
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …
large amount of data to achieve exceptional performance. Unfortunately, many applications …
Experts and intelligent systems for smart homes' Transformation to Sustainable Smart Cities: A comprehensive review
In this constantly evolving landscape of urbanization, the relationship between technology
and automation, in regards to sustainability, holds immense significance. The intricate …
and automation, in regards to sustainability, holds immense significance. The intricate …
[PDF][PDF] Federated learning for envision future trajectory smart transport system for climate preservation and smart green planet: Insights into global governance and …
B Singh - National Journal of Environmental Law, 2023 - researchgate.net
Abstract The integration of Federated Learning (FL) into the realm of smart transport systems
offers a nuanced perspective that extends beyond technological innovation, exploring the …
offers a nuanced perspective that extends beyond technological innovation, exploring the …
A systematic review of federated learning: Challenges, aggregation methods, and development tools
Since its inception in 2016, federated learning has evolved into a highly promising decentral-
ized machine learning approach, facilitating collaborative model training across numerous …
ized machine learning approach, facilitating collaborative model training across numerous …
[HTML][HTML] Unlocking the future: fostering human–machine collaboration and driving intelligent automation through industry 5.0 in smart cities
In the quest to meet the escalating demands of citizens, future smart cities emerge as crucial
entities. Their role becomes even more vital given the current challenges posed by rapid …
entities. Their role becomes even more vital given the current challenges posed by rapid …
A survey on role of blockchain for iot: Applications and technical aspects
In recent times, IoT has emerged as a new paradigm for the interconnection of
heterogeneous, resource-constrained, and communication-capable smart devices. It has …
heterogeneous, resource-constrained, and communication-capable smart devices. It has …
A decade of research in fog computing: relevance, challenges, and future directions
Recent developments in the Internet of Things (IoT) and real‐time applications, have led to
the unprecedented growth in the connected devices and their generated data. Traditionally …
the unprecedented growth in the connected devices and their generated data. Traditionally …
[HTML][HTML] Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions
Abstract The Artificial Intelligence of Things (AIoT), a combination of the Internet of Things
(IoT) and Artificial Intelligence (AI), plays an increasingly important role in smart agriculture …
(IoT) and Artificial Intelligence (AI), plays an increasingly important role in smart agriculture …